IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v121y2013icp1-8.html
   My bibliography  Save this article

The ENSO effect on peanut yield as influenced by planting date and soil type

Author

Listed:
  • Woli, Prem
  • Paz, Joel O.
  • Hoogenboom, Gerrit
  • Garcia y Garcia, Axel
  • Fraisse, Clyde W.

Abstract

Information regarding climate variability might help peanut (Arachis hypogaea L.) growers optimize their management strategies under different climate scenarios and maximize their production. This study examined the impact of El Niño-Southern Oscillation (ENSO) on peanut yield for southeastern USA as influenced by soil type and planting date for two spatial levels – region and sub-region. Rainfed yields were simulated for 32 peanut growing counties in this region using the CSM-CROPGRO-Peanut model and the historical weather data of 50years. The simulations were carried out for several scenarios comprising nine planting dates and seven soil types. Yields were separated by ENSO phase, and tests were performed for each planting date and soil type to examine if pod yields were different across the ENSO phases. Results showed that both planting date and soil type could significantly influence the effect of ENSO on peanut yield. The yield differences among ENSO phases were minimal for the peanuts planted during the middle part of the planting window (May 8 through May 22). The differences, however, were substantial for the planting dates in the initial and terminal parts of the window (April 16 through May 1 and May 29 through June 12). The influence of soil type on the ENSO effect was significant only for soils with the water holding capacity of less than 0.1 and for crops planted during the initial and terminal parts of the planting window. The ENSO effect was weaker and spatially less consistent at sub-regional level, but strong at the regional level.

Suggested Citation

  • Woli, Prem & Paz, Joel O. & Hoogenboom, Gerrit & Garcia y Garcia, Axel & Fraisse, Clyde W., 2013. "The ENSO effect on peanut yield as influenced by planting date and soil type," Agricultural Systems, Elsevier, vol. 121(C), pages 1-8.
    • Handle: RePEc:eee:agisys:v:121:y:2013:i:c:p:1-8
    DOI: 10.1016/j.agsy.2013.06.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X13000759
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2013.06.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Podesta, Guillermo & Letson, David & Messina, Carlos & Royce, Fred & Ferreyra, R. Andres & Jones, James & Hansen, James & Llovet, Ignacio & Grondona, Martin & O'Brien, James J., 2002. "Use of ENSO-related climate information in agricultural decision making in Argentina: a pilot experience," Agricultural Systems, Elsevier, vol. 74(3), pages 371-392, December.
    2. Cabrera, Victor E. & Solis, Daniel & Letson, David, 2007. "Optimal Crop-Insurance Strategies under Climate Variability: Contrasting Insurer and Farmer Interests," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9708, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Hammer, G. L. & Hansen, J. W. & Phillips, J. G. & Mjelde, J. W. & Hill, H. & Love, A. & Potgieter, A., 2001. "Advances in application of climate prediction in agriculture," Agricultural Systems, Elsevier, vol. 70(2-3), pages 515-553.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ubilava, David & Orlowski, Jan, 2016. "The Predictive Content of Climate Anomalies for Agricultural Production: Does ENSO Really Matter?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236281, Agricultural and Applied Economics Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carla Roncoli & Christine Jost & Paul Kirshen & Moussa Sanon & Keith Ingram & Mark Woodin & Léopold Somé & Frédéric Ouattara & Bienvenue Sanfo & Ciriaque Sia & Pascal Yaka & Gerrit Hoogenboom, 2009. "From accessing to assessing forecasts: an end-to-end study of participatory climate forecast dissemination in Burkina Faso (West Africa)," Climatic Change, Springer, vol. 92(3), pages 433-460, February.
    2. Cabrera, Victor E. & Letson, David & Podesta, Guillermo, 2007. "The value of climate information when farm programs matter," Agricultural Systems, Elsevier, vol. 93(1-3), pages 25-42, March.
    3. Hansen, James W., 2002. "Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges," Agricultural Systems, Elsevier, vol. 74(3), pages 309-330, December.
    4. World Bank, 2010. "Improving Water Management in Rainfed Agriculture : Issues and Options in Water-Constrained Production Systems," World Bank Publications - Reports 13028, The World Bank Group.
    5. Rizzo, Gonzalo & Mazzilli, Sebastian R. & Ernst, Oswaldo & Baethgen, Walter E. & Berger, Andres G., 2022. "Season-specific management strategies for rainfed soybean in the South American Pampas based on a seasonal precipitation forecast," Agricultural Systems, Elsevier, vol. 196(C).
    6. Bert, Federico E. & Satorre, Emilio H. & Toranzo, Fernando Ruiz & Podesta, Guillermo P., 2006. "Climatic information and decision-making in maize crop production systems of the Argentinean Pampas," Agricultural Systems, Elsevier, vol. 88(2-3), pages 180-204, June.
    7. Cao, Juan & Zhang, Zhao & Tao, Fulu & Chen, Yi & Luo, Xiangzhong & Xie, Jun, 2023. "Forecasting global crop yields based on El Nino Southern Oscillation early signals," Agricultural Systems, Elsevier, vol. 205(C).
    8. Mark Jury, 2013. "Climate prediction experiences in southern Africa 1990–2005 and key outcomes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1883-1894, February.
    9. Huang, Kaixing & Wang, Jinxia & Huang, Jikun & Findlay, Christopher, 2018. "The potential benefits of agricultural adaptation to warming in China in the long run," Environment and Development Economics, Cambridge University Press, vol. 23(2), pages 139-160, April.
    10. Nadolnyak, Denis A. & Novak, James L. & Vedenov, Dmitry V. & Paz, Joel O. & Fraisse, Clyde W. & Hoogenboom, Gerrit, 2007. "Non-Parametric Analysis of ENSO Impacts on Yield Distributions: Implications for GRP Contract Design," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34858, Southern Agricultural Economics Association.
    11. Meinke, H. & Baethgen, W. E. & Carberry, P. S. & Donatelli, M. & Hammer, G. L. & Selvaraju, R. & Stockle, C. O., 2001. "Increasing profits and reducing risks in crop production using participatory systems simulation approaches," Agricultural Systems, Elsevier, vol. 70(2-3), pages 493-513.
    12. Davey, Michael & Brookshaw, Anca, 2011. "Long-range meteorological forecasting and links to agricultural applications," Food Policy, Elsevier, vol. 36(S1), pages 88-93.
    13. Sardorbek Musayev & Jonathan Mellor & Tara Walsh & Emmanouil Anagnostou, 2022. "Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia," Forecasting, MDPI, vol. 4(1), pages 1-22, March.
    14. Mavromatis, T., 2016. "Spatial resolution effects on crop yield forecasts: An application to rainfed wheat yield in north Greece with CERES-Wheat," Agricultural Systems, Elsevier, vol. 143(C), pages 38-48.
    15. Carter, Chris & Crean, Jason & Kingwell, Ross S. & Hertzler, Greg, 2006. "Managing and Sharing the Risks of Drought in Australia," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25319, International Association of Agricultural Economists.
    16. Gohar, Abdelaziz A. & Cashman, Adrian, 2016. "A methodology to assess the impact of climate variability and change on water resources, food security and economic welfare," Agricultural Systems, Elsevier, vol. 147(C), pages 51-64.
    17. Hearn, A. B. & Bange, M. P., 2002. "SIRATAC and CottonLOGIC: persevering with DSSs in the Australian cotton industry," Agricultural Systems, Elsevier, vol. 74(1), pages 27-56, October.
    18. Julián Benitez & Roger Domecq, 2014. "Analysis of meteorological drought episodes in Paraguay," Climatic Change, Springer, vol. 127(1), pages 15-25, November.
    19. Woodard, Joshua D. & Chiu Verteramo, Leslie & Miller, Alyssa P., 2015. "Adaptation of U.S. Agricultural Production to Drought and Climate Change," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205903, Agricultural and Applied Economics Association.
    20. Novak, James L. & Nadolnyak, Denis A., 2008. "Climate Effects on Rainfall Index Insurance Purchase Decisions," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46834, Southern Agricultural Economics Association.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:121:y:2013:i:c:p:1-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.